{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-12T13:43:33.877942Z",
     "start_time": "2020-06-12T13:43:33.875423Z"
    }
   },
   "source": [
    "<font size=\"+3\">Visualize Real and Synthetic Data</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imports and Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.527237Z",
     "start_time": "2020-06-22T15:17:41.890626Z"
    }
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from sklearn.manifold import TSNE\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import GRU, Dense\n",
    "from tensorflow.keras.losses import BinaryCrossentropy, MeanSquaredError, MeanAbsoluteError\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "from tensorflow.keras.metrics import AUC\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.555778Z",
     "start_time": "2020-06-22T15:17:43.528317Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using GPU\n"
     ]
    }
   ],
   "source": [
    "gpu_devices = tf.config.experimental.list_physical_devices('GPU')\n",
    "if gpu_devices:\n",
    "    print('Using GPU')\n",
    "    tf.config.experimental.set_memory_growth(gpu_devices[0], True)\n",
    "else:\n",
    "    print('Using CPU')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.578929Z",
     "start_time": "2020-06-22T15:17:43.557252Z"
    }
   },
   "outputs": [],
   "source": [
    "sns.set_style('white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.593931Z",
     "start_time": "2020-06-22T15:17:43.580574Z"
    }
   },
   "outputs": [],
   "source": [
    "path = Path('time_gan')\n",
    "hdf_store = path / 'TimeSeriesGAN.h5'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.602725Z",
     "start_time": "2020-06-22T15:17:43.595598Z"
    }
   },
   "outputs": [],
   "source": [
    "seq_len = 24\n",
    "n_seq = 6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.611196Z",
     "start_time": "2020-06-22T15:17:43.604224Z"
    }
   },
   "outputs": [],
   "source": [
    "experiment = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.661228Z",
     "start_time": "2020-06-22T15:17:43.613548Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_real_data():\n",
    "    df = pd.read_hdf(hdf_store, 'data/real').sort_index()\n",
    "\n",
    "    # Preprocess the dataset:\n",
    "    scaler = MinMaxScaler()\n",
    "    scaled_data = scaler.fit_transform(df)\n",
    "\n",
    "    data = []\n",
    "    for i in range(len(df) - seq_len):\n",
    "        data.append(scaled_data[i:i + seq_len])\n",
    "    return data\n",
    "\n",
    "\n",
    "real_data = get_real_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.665058Z",
     "start_time": "2020-06-22T15:17:43.662845Z"
    }
   },
   "outputs": [],
   "source": [
    "n = len(real_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.680339Z",
     "start_time": "2020-06-22T15:17:43.666169Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4562, 24, 6)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.asarray(real_data).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.696196Z",
     "start_time": "2020-06-22T15:17:43.681574Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4480, 24, 6)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "synthetic_data = np.load(path / f'experiment_{experiment:02d}' / 'generated_data.npy')\n",
    "synthetic_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.709862Z",
     "start_time": "2020-06-22T15:17:43.697349Z"
    }
   },
   "outputs": [],
   "source": [
    "real_data = real_data[:synthetic_data.shape[0]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare Sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.717005Z",
     "start_time": "2020-06-22T15:17:43.711263Z"
    }
   },
   "outputs": [],
   "source": [
    "sample_size = 250\n",
    "idx = np.random.permutation(len(real_data))[:sample_size]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.731359Z",
     "start_time": "2020-06-22T15:17:43.717944Z"
    }
   },
   "outputs": [],
   "source": [
    "# Data preprocessing\n",
    "real_sample = np.asarray(real_data)[idx]\n",
    "synthetic_sample = np.asarray(synthetic_data)[idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.737363Z",
     "start_time": "2020-06-22T15:17:43.732660Z"
    }
   },
   "outputs": [],
   "source": [
    "real_sample_2d = real_sample.reshape(-1, seq_len)\n",
    "synthetic_sample_2d = synthetic_sample.reshape(-1, seq_len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.746206Z",
     "start_time": "2020-06-22T15:17:43.738394Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1500, 24), (1500, 24))"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_sample_2d.shape, synthetic_sample_2d.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization in 2D: A Qualitative Assessment of Diversity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:43.846913Z",
     "start_time": "2020-06-22T15:17:43.747395Z"
    }
   },
   "outputs": [],
   "source": [
    "pca = PCA(n_components=2)\n",
    "pca.fit(real_sample_2d)\n",
    "pca_real = (pd.DataFrame(pca.transform(real_sample_2d))\n",
    "            .assign(Data='Real'))\n",
    "pca_synthetic = (pd.DataFrame(pca.transform(synthetic_sample_2d))\n",
    "                 .assign(Data='Synthetic'))\n",
    "pca_result = pca_real.append(pca_synthetic).rename(\n",
    "    columns={0: '1st Component', 1: '2nd Component'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run t-SNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.257686Z",
     "start_time": "2020-06-22T15:17:43.849093Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing 121 nearest neighbors...\n",
      "[t-SNE] Indexed 3000 samples in 0.014s...\n",
      "[t-SNE] Computed neighbors for 3000 samples in 0.190s...\n",
      "[t-SNE] Computed conditional probabilities for sample 1000 / 3000\n",
      "[t-SNE] Computed conditional probabilities for sample 2000 / 3000\n",
      "[t-SNE] Computed conditional probabilities for sample 3000 / 3000\n",
      "[t-SNE] Mean sigma: 0.079309\n",
      "[t-SNE] KL divergence after 250 iterations with early exaggeration: 54.727425\n",
      "[t-SNE] KL divergence after 1000 iterations: 0.330731\n"
     ]
    }
   ],
   "source": [
    "tsne_data = np.concatenate((real_sample_2d,\n",
    "                            synthetic_sample_2d), axis=0)\n",
    "\n",
    "tsne = TSNE(n_components=2,\n",
    "            verbose=1,\n",
    "            perplexity=40)\n",
    "tsne_result = tsne.fit_transform(tsne_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.268115Z",
     "start_time": "2020-06-22T15:17:55.259463Z"
    }
   },
   "outputs": [],
   "source": [
    "tsne_result = pd.DataFrame(tsne_result, columns=['X', 'Y']).assign(Data='Real')\n",
    "tsne_result.loc[sample_size*6:, 'Data'] = 'Synthetic'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.662524Z",
     "start_time": "2020-06-22T15:17:55.273898Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, figsize=(14, 5))\n",
    "\n",
    "sns.scatterplot(x='1st Component', y='2nd Component', data=pca_result,\n",
    "                hue='Data', style='Data', ax=axes[0])\n",
    "sns.despine()\n",
    "axes[0].set_title('PCA Result')\n",
    "\n",
    "\n",
    "sns.scatterplot(x='X', y='Y',\n",
    "                data=tsne_result,\n",
    "                hue='Data', \n",
    "                style='Data', \n",
    "                ax=axes[1])\n",
    "sns.despine()\n",
    "for i in [0, 1]:\n",
    "    axes[i].set_xticks([])\n",
    "    axes[i].set_yticks([])\n",
    "\n",
    "axes[1].set_title('t-SNE Result')\n",
    "fig.suptitle('Assessing Diversity: Qualitative Comparison of Real and Synthetic Data Distributions', \n",
    "             fontsize=14)\n",
    "fig.tight_layout()\n",
    "fig.subplots_adjust(top=.88);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Time Series Classification: A quantitative Assessment of Fidelity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.680649Z",
     "start_time": "2020-06-22T15:17:55.663555Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4480, 24, 6)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_data = get_real_data()\n",
    "real_data = np.array(real_data)[:len(synthetic_data)]\n",
    "real_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.684048Z",
     "start_time": "2020-06-22T15:17:55.681598Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4480, 24, 6)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "synthetic_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.691630Z",
     "start_time": "2020-06-22T15:17:55.686412Z"
    }
   },
   "outputs": [],
   "source": [
    "n_series = real_data.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.700214Z",
     "start_time": "2020-06-22T15:17:55.693009Z"
    }
   },
   "outputs": [],
   "source": [
    "idx = np.arange(n_series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.710290Z",
     "start_time": "2020-06-22T15:17:55.701474Z"
    }
   },
   "outputs": [],
   "source": [
    "n_train = int(.8*n_series)\n",
    "train_idx = idx[:n_train]\n",
    "test_idx = idx[n_train:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.726211Z",
     "start_time": "2020-06-22T15:17:55.714135Z"
    }
   },
   "outputs": [],
   "source": [
    "train_data = np.vstack((real_data[train_idx], \n",
    "                        synthetic_data[train_idx]))\n",
    "test_data = np.vstack((real_data[test_idx], \n",
    "                       synthetic_data[test_idx]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:55.733797Z",
     "start_time": "2020-06-22T15:17:55.727451Z"
    }
   },
   "outputs": [],
   "source": [
    "n_train, n_test = len(train_idx), len(test_idx)\n",
    "train_labels = np.concatenate((np.ones(n_train),\n",
    "                               np.zeros(n_train)))\n",
    "test_labels = np.concatenate((np.ones(n_test),\n",
    "                              np.zeros(n_test)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:56.262655Z",
     "start_time": "2020-06-22T15:17:55.735097Z"
    }
   },
   "outputs": [],
   "source": [
    "ts_classifier = Sequential([GRU(6, input_shape=(24, 6), name='GRU'),\n",
    "                            Dense(1, activation='sigmoid', name='OUT')],\n",
    "                           name='Time_Series_Classifier')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:56.280974Z",
     "start_time": "2020-06-22T15:17:56.264619Z"
    }
   },
   "outputs": [],
   "source": [
    "ts_classifier.compile(loss='binary_crossentropy',\n",
    "                      optimizer='adam',\n",
    "                      metrics=[AUC(name='AUC'), 'accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:17:56.285728Z",
     "start_time": "2020-06-22T15:17:56.282211Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"Time_Series_Classifier\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "GRU (GRU)                    (None, 6)                 252       \n",
      "_________________________________________________________________\n",
      "OUT (Dense)                  (None, 1)                 7         \n",
      "=================================================================\n",
      "Total params: 259\n",
      "Trainable params: 259\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "ts_classifier.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:36.687714Z",
     "start_time": "2020-06-22T15:17:56.286992Z"
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "result = ts_classifier.fit(x=train_data,\n",
    "                           y=train_labels,\n",
    "                           validation_data=(test_data, test_labels),\n",
    "                           epochs=250,\n",
    "                           batch_size=128,\n",
    "                           verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.098115Z",
     "start_time": "2020-06-22T15:18:36.689977Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "56/56 [==============================] - 0s 2ms/step - loss: 4.7181 - AUC: 0.1029 - accuracy: 0.4682  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[4.718147277832031, 0.10285793244838715, 0.4681919515132904]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_classifier.evaluate(x=test_data, y=test_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.105912Z",
     "start_time": "2020-06-22T15:18:37.099158Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 250 entries, 0 to 249\n",
      "Data columns (total 6 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   loss          250 non-null    float64\n",
      " 1   AUC           250 non-null    float64\n",
      " 2   accuracy      250 non-null    float64\n",
      " 3   val_loss      250 non-null    float64\n",
      " 4   val_AUC       250 non-null    float64\n",
      " 5   val_accuracy  250 non-null    float64\n",
      "dtypes: float64(6)\n",
      "memory usage: 11.8 KB\n"
     ]
    }
   ],
   "source": [
    "history = pd.DataFrame(result.history)\n",
    "history.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.134245Z",
     "start_time": "2020-06-22T15:18:37.107074Z"
    }
   },
   "outputs": [],
   "source": [
    "from matplotlib.ticker import FuncFormatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.582860Z",
     "start_time": "2020-06-22T15:18:37.135396Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('white')\n",
    "fig, axes = plt.subplots(ncols=2, figsize=(14,4))\n",
    "history[['AUC', 'val_AUC']].rename(columns={'AUC': 'Train', 'val_AUC': 'Test'}).plot(ax=axes[1], \n",
    "                                                                                     title='ROC Area under the Curve',\n",
    "                                                                                    style=['-', '--'],\n",
    "                                                                                    xlim=(0, 250))\n",
    "history[['accuracy', 'val_accuracy']].rename(columns={'accuracy': 'Train', 'val_accuracy': 'Test'}).plot(ax=axes[0], \n",
    "                                                                                                         title='Accuracy',\n",
    "                                                                                                        style=['-', '--'],\n",
    "                                                                                                        xlim=(0, 250))\n",
    "for i in [0, 1]:\n",
    "    axes[i].set_xlabel('Epoch')\n",
    "\n",
    "axes[0].yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y))) \n",
    "axes[0].set_ylabel('Accuracy (%)')\n",
    "axes[1].set_ylabel('AUC')\n",
    "sns.despine()\n",
    "fig.suptitle('Assessing Fidelity: Time Series Classification Performance', fontsize=14)\n",
    "fig.tight_layout()\n",
    "fig.subplots_adjust(top=.85);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train on Synthetic, test on real: Assessing usefulness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.599822Z",
     "start_time": "2020-06-22T15:18:37.584094Z"
    }
   },
   "outputs": [],
   "source": [
    "real_data = get_real_data()\n",
    "real_data = np.array(real_data)[:len(synthetic_data)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.611553Z",
     "start_time": "2020-06-22T15:18:37.600904Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((4480, 24, 6), (4480, 24, 6))"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_data.shape, synthetic_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.619775Z",
     "start_time": "2020-06-22T15:18:37.614389Z"
    }
   },
   "outputs": [],
   "source": [
    "real_train_data = real_data[train_idx, :23, :]\n",
    "real_train_label = real_data[train_idx, -1, :]\n",
    "\n",
    "real_test_data = real_data[test_idx, :23, :]\n",
    "real_test_label = real_data[test_idx, -1, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.627036Z",
     "start_time": "2020-06-22T15:18:37.620968Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((3584, 23, 6), (3584, 6), (896, 23, 6), (896, 6))"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_train_data.shape, real_train_label.shape, real_test_data.shape, real_test_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.634549Z",
     "start_time": "2020-06-22T15:18:37.628124Z"
    }
   },
   "outputs": [],
   "source": [
    "synthetic_train = synthetic_data[:, :23, :]\n",
    "synthetic_label = synthetic_data[:, -1, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.643280Z",
     "start_time": "2020-06-22T15:18:37.635681Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((4480, 23, 6), (4480, 6))"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "synthetic_train.shape, synthetic_label.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:37.653201Z",
     "start_time": "2020-06-22T15:18:37.644478Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_model():\n",
    "    model = Sequential([GRU(12, input_shape=(seq_len-1, n_seq)),\n",
    "                        Dense(6)])\n",
    "\n",
    "    model.compile(optimizer=Adam(),\n",
    "                  loss=MeanAbsoluteError(name='MAE'))\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:47.114805Z",
     "start_time": "2020-06-22T15:18:37.656770Z"
    }
   },
   "outputs": [],
   "source": [
    "ts_regression = get_model()\n",
    "synthetic_result = ts_regression.fit(x=synthetic_train,\n",
    "                                     y=synthetic_label,\n",
    "                                     validation_data=(\n",
    "                                         real_test_data, \n",
    "                                         real_test_label),\n",
    "                                     epochs=100,\n",
    "                                     batch_size=128,\n",
    "                                     verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:54.838847Z",
     "start_time": "2020-06-22T15:18:47.116080Z"
    }
   },
   "outputs": [],
   "source": [
    "ts_regression = get_model()\n",
    "real_result = ts_regression.fit(x=real_train_data,\n",
    "                                y=real_train_label,\n",
    "                                validation_data=(\n",
    "                                    real_test_data, \n",
    "                                    real_test_label),\n",
    "                                epochs=100,\n",
    "                                batch_size=128,\n",
    "                                verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:54.845971Z",
     "start_time": "2020-06-22T15:18:54.839965Z"
    }
   },
   "outputs": [],
   "source": [
    "synthetic_result = pd.DataFrame(synthetic_result.history).rename(columns={'loss': 'Train', 'val_loss': 'Test'})\n",
    "real_result = pd.DataFrame(real_result.history).rename(columns={'loss': 'Train', 'val_loss': 'Test'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-06-22T15:18:55.735262Z",
     "start_time": "2020-06-22T15:18:54.847140Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, figsize=(14, 4), sharey=True)\n",
    "synthetic_result.plot(ax=axes[0], title='Train on Synthetic, Test on Real', logy=True, xlim=(0, 100))\n",
    "real_result.plot(ax=axes[1], title='Train on Real, Test on Real', logy=True, xlim=(0, 100))\n",
    "for i in [0, 1]:\n",
    "    axes[i].set_xlabel('Epoch')\n",
    "    axes[i].set_ylabel('Mean Absolute Error (log scale)')\n",
    "\n",
    "sns.despine()\n",
    "fig.suptitle('Assessing Usefulness: Time Series Prediction Performance', fontsize=14)\n",
    "fig.tight_layout()\n",
    "fig.subplots_adjust(top=.85);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:ml4t-dl]",
   "language": "python",
   "name": "conda-env-ml4t-dl-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
